David Camp

According to our database, David Camp authored at least 16 papers between 2011 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Performance Analysis of Traditional and Data-Parallel Primitive Implementations of Visualization and Analysis Kernels.

E. Wes Bethel, David Camp, Talita Perciano, Colleen Heinemann

CoRR, 2020

Shared-Memory Parallel Probabilistic Graphical Modeling Optimization: Comparison of Threads, OpenMP, and Data-Parallel Primitives.

Talita Perciano, Colleen Heinemann, David Camp, Brenton Lessley, E. Wes Bethel

Proceedings of the High Performance Computing - 35th International Conference, 2020

2018

Python-based <i>in situ</i> analysis and visualization.

Burlen Loring, Andrew Myers, David Camp, E. Wes Bethel

Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2018

DPP-PMRF: Rethinking Optimization for a Probabilistic Graphical Model Using Data-Parallel Primitives.

Brenton Lessley, Talita Perciano, Colleen Heinemann, David Camp, Hank Childs, E. Wes Bethel

Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018

2015

A practical Java tool for small-molecule compound appraisal.

Parisa Amani, Todd Sneyd, Sarah Preston, Neil D. Young, Lyndel Mason, Ulla-Maja Bailey, Jonathan B. Baell, David Camp, Robin B. Gasser, Alain Dominique Gorse, Paul Taylor, Andreas Hofmann

J. Cheminformatics, 2015

Subsampling-based compression and flow visualization.

Alexy Agranovsky, David Camp, Kenneth I. Joy, Hank Childs

Proceedings of the Visualization and Data Analysis 2015, 2015

Improving Performance of Structured-Memory, Data-Intensive Applications on Multi-core Platforms via a Space-Filling Curve Memory Layout.

E. Wes Bethel, David Camp, David Donofrio, Mark Howison

Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

2014

Improved post hoc flow analysis via Lagrangian representations.

Alexy Agranovsky, David Camp, Christoph Garth, E. Wes Bethel, Kenneth I. Joy, Hank Childs

Proceedings of the 4th IEEE Symposium on Large Data Analysis and Visualization, 2014

Particle advection performance over varied architectures and workloads.

Hank Childs, Scott Biersdorff, David Poliakoff, David Camp, Allen D. Malony

Proceedings of the 21st International Conference on High Performance Computing, 2014

2013

Distributed parallel particle advection using work requesting.

Cornelius Müller, David Camp, Bernd Hentschel, Christoph Garth

Proceedings of the IEEE Symposium on Large-Scale Data Analysis and Visualization, 2013

GPU Acceleration of Particle Advection Workloads in a Parallel, Distributed Memory Setting.

David Camp, Harinarayan Krishnan, David Pugmire, Christoph Garth, Ian Johnson, E. Wes Bethel, Kenneth I. Joy, Hank Childs

Proceedings of the 13th Eurographics Symposium on Parallel Graphics and Visualization, 2013

2012

Parallel stream surface computation for large data sets.

David Camp, Christoph Garth, Hank Childs, David Pugmire, Kenneth I. Joy

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2012

VisIt.

Hank Childs, Eric Brugger, Brad Whitlock, Jeremy S. Meredith, Sean Ahern, David Pugmire, Kathleen Biagas, Mark C. Miller, Cyrus Harrison, Gunther H. Weber, Hari Krishnan, Thomas Fogal, Allen R. Sanderson, Christoph Garth, E. Wes Bethel, David Camp, Oliver Rübel, Marc Durant, Jean M. Favre, Paul A. Navrátil

Proceedings of the High Performance Visualization, 2012

Hybrid Parallelism.

E. Wes Bethel, David Camp, Hank Childs, Christoph Garth, Mark Howison, Kenneth I. Joy, David Pugmire

Proceedings of the High Performance Visualization, 2012

2011

Streamline Integration Using MPI-Hybrid Parallelism on a Large Multicore Architecture.

David Camp, Christoph Garth, Hank Childs, David Pugmire, Kenneth I. Joy

IEEE Trans. Vis. Comput. Graph., 2011

Evaluating the benefits of an extended memory hierarchy for parallel streamline algorithms.

David Camp, Hank Childs, Amit Chourasia, Christoph Garth, Kenneth I. Joy

Proceedings of the IEEE Symposium on Large Data Analysis and Visualization, 2011